Design and implementation of mobile self-care system using voice and facial images

Abstract

Individual effort toward wellness is the most important factor to prevent and manage health risks. Though physiological sensing devices and self-care applications support that, sensing devices of most existing mobile healthcare systems are very expensive and the service only provides basic notification about a patient's condition. In this paper we propose a mobile self-care system using voice and facial images. The system consists of a health monitoring module and a symptom checking module. In the system emotion, age and gender information are acquired automatically by using distributed computing-based server-side multimodal emotion, age, and gender recognition system using voice and facial images. The user is then able to use their own voice and face effectively for wellness self-management. © 2009 Springer Berlin Heidelberg.